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“A UC-Wide Cyberinfrastructure for Data-Intensive Research”

“A UC-Wide Cyberinfrastructure for Data-Intensive Research”. Invited Presentation UC IT Leadership Council Oakland, CA May 19, 2014. Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor,

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“A UC-Wide Cyberinfrastructure for Data-Intensive Research”

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  1. “A UC-Wide Cyberinfrastructure for Data-Intensive Research” Invited Presentation UC IT Leadership Council Oakland, CA May 19, 2014 Dr. Larry Smarr Director, California Institute for Telecommunications and Information Technology Harry E. Gruber Professor, Dept. of Computer Science and Engineering Jacobs School of Engineering, UCSD http://lsmarr.calit2.net

  2. Vision: Creating a UC-Wide“Big Data” Plane Connected to CENIC, I2, & GLIF Use Lightpaths to Connect All UC Data Generators and Consumers, Creating a “Big Data” Plane Integrated With High Performance Global Networks “The Bisection Bandwidth of a Cluster Interconnect, but Deployed on a 10-Campus Scale.” This Vision Has Been Building for Over a Decade

  3. Calit2/SDSC Proposal to Create a UC Cyberinfrastructure of OptIPuter “On-Ramps” to TeraGrid Resources OptIPuter + CalREN-XD + TeraGrid = “OptiGrid” UC Davis UC Berkeley UC San Francisco UC Merced UC Santa Cruz UC Los Angeles UC Riverside UC Santa Barbara UC Irvine Creating a Critical Mass of End Users on a Secure LambdaGrid UC San Diego LS 2005 Slide Source: Fran Berman, SDSC

  4. CENIC Provides an Optical BackplaneFor the UC Campuses Upgrading to 100G

  5. CENIC is Rapidly Moving to Connect at 100 Gbps Across the State and Nation DOE Internet2

  6. Global Innovation Centers are Connected with 10 Gigabits/sec Clear Channel Lightpaths Members of The Global Lambda Integrated Facility Meet Annually at Calit2’s Qualcomm Institute Source: Maxine Brown, UIC and Robert Patterson, NCSA

  7. Why Now? The White House AnnouncementHas Galvanized U.S. Campus CI Innovations

  8. Why Now?Federating the Six UC CC-NIE Grants • 2011 ACCI Strategic Recommendation to the NSF #3: • NSF should create a new program funding high-speed (currently 10 Gbps) connections from campuses to the nearest landing point for a national network backbone. The design of these connections must include support for dynamic network provisioning services and must be engineered to support rapid movement of large scientific data sets." • - pg. 6, NSF Advisory Committee for Cyberinfrastructure Task Force on Campus Bridging, Final Report, March 2011 • www.nsf.gov/od/oci/taskforces/TaskForceReport_CampusBridging.pdf • Led to Office of Cyberinfrastructure RFP March 1, 2012 • NSF’s Campus Cyberinfrastructure – Network Infrastructure & Engineering (CC-NIE) Program • 85 Grants Awarded So Far (NSF Summit Last Week) • 6 Are in UC UC Must Move Rapidly or Lose a Ten-Year Advantage!

  9. Creating a “Big Data” PlaneNSF CC-NIE Funded Prism@UCSD CHERuB NSF CC-NIE Has Awarded Prism@UCSD Optical Switch Phil Papadopoulos, SDSC, Calit2, PI

  10. UC-Wide “Big Data Plane” Puts High Performance Data Resources Into Your Lab 12

  11. How to Terminate 10Gbps in Your LabFIONA – Inspired by Gordon FIONA 3+GB/s Data Appliance, 32GB 9 X 256GB 510MB/sec • FIONA – Flash I/O Node Appliance • Combination of Desktop and Server Building Blocks • US$5K - US$7K • Desktop Flash up to 16TB • RAID Drives up to 48TB • Drive HD 2D & 3D Displays • 10GbE/40GbE Adapter • Tested speed 30Gbs • Developed by UCSD’s • Phil Papadopoulos • Tom DeFanti • Joe Keefe 8 X 3TB 125MB/sec 2 TB Cache 24TB Disk 2 x 40GbE

  12. 100G CENIC to UCSD—NSF CC-NIE Configurable, High-speed, Extensible Research Bandwidth (CHERuB) Source: Mike Norman, SDSC

  13. NSF CC-NIE Funded UCI LightPath: A Dedicated Campus Science DMZ Network for Big Data Transfer Source: Dana Roode, UCI

  14. NSF CC-NIE Funded UC Berkeley ExCEEDS -Extensible Data Science Networking Source: Jon Kuroda, UCB

  15. NSF CC-NIE Funded UC Davis Science DMZ Architecture Source: Matt Bishop, UCD

  16. NSF CC-NIE Funded Adding a Science DMZ to Existing Shared Internet at UC Santa Cruz Before After Source: Brad Smith, UCSC

  17. Gray Davis Institutes for Science and Innovation: A Faculty-Facing Partner for NSF CC-NIEs & ITLC UCSB UCLA UCI UCSD California Institute for Bioengineering, Biotechnology, and Quantitative Biomedical Research Center for Information Technology Research in the Interest of Society UCD UCM UCB UCSF California NanoSystems Institute UCSC California Institute for Telecommunications and Information Technology www.ucop.edu/california-institutes

  18. Coupling to California CC-NIE Winning ProposalsFrom Non-UC Campuses • Caltech • Caltech High-Performance OPtical Integrated Network (CHOPIN) • CHOPIN Deploys Software-Defined Networking (SDN) Capable Switches • Creates 100Gbps Link Between Caltech and CENIC and Connection to: • California OpenFlow Testbed Network (COTN) • Internet2 Advanced Layer 2 Services (AL2S) network • Driven by Big Data High Energy Physics, astronomy (LIGO, LSST), Seismology, Geodetic Earth Satellite Observations • Stanford University • Develop SDN-Based Private Cloud • Connect to Internet2 100G Innovation Platform • Campus-Wide Sliceable/VIrtualized SDN Backbone (10-15 switches) • SDN control and management • San Diego State University • Implementing a ESnet Architecture Science DMZ • Balancing Performance and Security Needs • Promote Remote Usage of Computing Resources at SDSU Also USC Source: Louis Fox, CENIC CEO

  19. High Performance Computing and StorageBecome Plug Ins to the “Big Data” Plane

  20. NERSC and ESnetOffer High Performance Computing and Networking Cray XC30 2.4 Petaflops Dedicated Feb. 5, 2014

  21. SDSC’s Comet is a ~2 PetaFLOPs System Architected for the “Long Tail of Science” NSF Track 2 award to SDSC $12M NSF award to acquire $3M/yr x 4 yrs to operate Production early 2015

  22. UCSD/SDSC Provides CoLo FacilitiesOver Multi-Gigabit/s Optical Networks Network Connectivity (Fall ’14) • 100Gbps(CHERuB - layer 2 only): via CENIC to PacWave, Internet2 AL2S & ESnet • 20Gbps (each): CENIC HPR (Internet2), CENIC DC (K-20+ISPs)  • 10Gbps (each): CENIC HPR-L2, ESnet L3, Pacwave L2, XSEDENet, FutureGrid (IU) Current Usage Profile (racks) • UCSD: 248 • Other UC campuses: 52 • Non-UC nonprofit/industry: 26 Protected-Data Equipment or Services (PHI, HIPAA) • UCD, UCI, UCOP, UCR, UCSC, UCSD, UCSF, Rady Children’s Hospital

  23. Triton Shared Computing Cluster“Hotel” & “Condo” Models • Participation Model: • Hotel: • Pre-Purchase Computing Time as Needed / Run on Subset of Cluster • For Small/Medium & Short-Term Needs • Condo: • Purchase Nodes with Equipment Funds and Have “Run Of The Cluster” • For Longer Term Needs / Larger Runs • Annual Operations Fee Is Subsidized (~75%) for UCSD • System Capabilities: • Heterogeneous System for Range of User Needs • Intel Xeon, NVIDIA GPU, Mixed Infiniband / Ethernet Interconnect • 180 Total Nodes, ~ 80-90TF Performance • 40+ Hotel Nodes • 700TB High Performance Data Oasis Parallel File System • Persistent Storage via Recharge • User Profile: • 16 Condo Groups (All UCSD) • ~600 User Accounts • Hotel Partition • Users From 8 UC Campuses • UC Santa Barbara & Merced Most Active After UCSD • ~70 Users from Outside Research Institutes and Industry

  24. Many Disciplines RequireDedicated High Bandwidth on Campus • Remote Analysis of Large Data Sets • Particle Physics, Regional Climate Change • Connection to Remote Campus Compute & Storage Clusters • Microscopy and Next Gen Sequencers • Providing Remote Access to Campus Data Repositories • Protein Data Bank, Mass Spectrometry, Genomics • Enabling Remote Collaborations • National and International • Extending Data-Intensive Research to Surrounding Counties • HPWREN Big Data Flows Add to Commodity Internet to Fully Utilize CENIC’s 100G Campus Connection

  25. PRISM is Connecting CERN’s CMS ExperimentTo UCSD Physics Department at 80 Gbps All UC LHC Researchers Could Share Data/Compute Across CENIC/Esnet at 10-100 Gbps

  26. Planning for climate change in California substantial shifts on top of already high climate variability SIO Campus Climate Researchers Need to Download Results from Remote Supercomputer Simulations to Make Regional Climate Change Forecasts Dan Cayan USGS Water Resources Discipline Scripps Institution of Oceanography, UC San Diego much support from Mary Tyree, Mike Dettinger, Guido Franco and other colleagues Sponsors: California Energy Commission NOAA RISA program California DWR, DOE, NSF

  27. GFDL A2 1km downscaled to 1km Source: Hugo Hidalgo, Tapash Das, Mike Dettinger average summer afternoon temperature average summer afternoon temperature

  28. NIH National Center for Microscopy & Imaging Research Integrated Infrastructure of Shared Resources Shared Infrastructure Scientific Instruments Local SOM Infrastructure End User FIONA Workstation Source: Steve Peltier, Mark Ellisman, NCMIR

  29. PRISM Links Calit2’s VROOM to NCMIR to Explore Confocal Light Microscope Images of Rat Brains

  30. Protein Data Bank (PDB) NeedsBandwidth to Connect Resources and Users Archive of experimentally determined 3D structures of proteins, nucleic acids, complex assemblies One of the largest scientific resources in life sciences Virus Source: Phil Bourne and Andreas Prlić, PDB Hemoglobin

  31. PDB Plans to Establish Global Load Balancing • Why is it Important? • Enables PDB to Better Serve Its Users by Providing Increased Reliability and Quicker Results • Need High Bandwidth Between Rutgers & UCSD Facilities • More than 300,000 Unique Visitors per Month • Up to 300 Concurrent Users • ~10 Structures are Downloaded per Second 7/24/365 Before After Source: Phil Bourne and Andreas Prlić, PDB

  32. Cancer Genomics Hub (UCSC) is Housed in SDSC CoLo:Storage CoLo Attracts Compute CoLo • (David Haussler, PI) “SDSC [colocation service] has exceeded our expectations of what a data center can offer. We are glad to have the CGHub database located at SDSC.” • Researchers can already install their own computers at SDSC, where the CGHub data is physically housed, so that they can run their own analyses. (http://blogs.nature.com/news/2012/05/us-cancer-genome-repository-hopes-to-speed-research.html) • Berkeley is connecting at 100Gbps to CGHub CGHub is a Large-Scale Data Repository/Portal for the National Cancer Institute’s Cancer Genome Research Programs Current Capacity is 5 Petabytes , Scalable to 20 Petabytes; Cancer Genome Atlas Alone Could Produce 10 PB in the Next Four Years Source: Richard Moore, et al. SDSC

  33. PRISM Will Link Computational Mass Spectrometryand Genome Sequencing Cores to the Big Data Freeway Source: proteomics.ucsd.edu ProteoSAFe: Compute-intensive discovery MS at the click of a button MassIVE: repository and identification platform for all MS data in the world

  34. Telepresence Meeting Using Digital Cinema 4k Streams Keio University President Anzai UCSD Chancellor Fox 4k = 4000x2000 Pixels = 4xHD Streaming 4k with JPEG 2000 Compression ½ Gbit/sec 100 Times the Resolution of YouTube! Lays Technical Basis for Global Digital Cinema Sony NTT SGI Calit2@UCSD Auditorium

  35. Tele-Collaboration for Audio Post-ProductionRealtime Picture & Sound Editing Synchronized Over IP Skywalker Sound@Marin Calit2@San Diego

  36. Collaboration Between EVL’s CAVE2 and Calit2’s VROOM Over 10Gb Wavelength Calit2 EVL Source: NTT Sponsored ON*VECTOR Workshop at Calit2 March 6, 2013

  37. High Performance Wireless Research and Education Network http://hpwren.ucsd.edu/ National Science Foundation awards 0087344, 0426879 and 0944131

  38. HPWREN TopologyCovers San Diego, Imperial, and Part of Riverside Counties to CI and PEMEX approximately 50 miles: Note: locations are approximate

  39. SoCal Weather Stations:Note the High Density in San Diego County Source: Jessica Block, Calit2

  40. Interactive Virtual Reality of San Diego CountyIncludes Live Feeds From 150 Met Stations TourCAVE at Calit2’s Qualcomm Institute

  41. Real-Time Network Cameras on Mountains for Environmental Observations Source: Hans Werner Braun, HPWREN PI

  42. A Scalable Data-Driven Monitoring, Dynamic Prediction and Resilience Cyberinfrastructure for Wildfires (WiFire) Development of end-to-end “cyberinfrastructure” for “analysis of large dimensional heterogeneous real-time sensor data” System integration of • real-time sensor networks, • satellite imagery, • near-real time data management tools, • wildfire simulation tools • connectivity to emergency command centers before during and after a firestorm. NSF Has Just Awarded the WiFire Grant – Ilkay Altintas SDSC PI Photo by Bill Clayton

  43. Using Calit2’s Qualcomm Institute NexCAVEfor CAL FIRE Research and Planning Source: Jessica Block, Calit2

  44. Integrated Digital Infrastructure:Next Steps • White Paper for UCSD Delivered to Chancellor • Creating a Campus Research Data Library • Deploying Advanced Cloud, Networking, Storage, Compute, and Visualization Services • Organizing a User-Driven IDI Specialists Team • Riding the Learning Curve from Leading-Edge Capabilities to Community Data Services • Extending the High Performance Wireless Research and Education Network (HPWREN) to all UC Campuses • White Paper for UC-Wide IDI Under Development • Calit2 (UCSD, UCI) and CITRIS (UCB, UCSC, UCD) • Begin Work on Integrating CC-NIEs Across Campuses • Calit2 and UCR Investigating HPWREN Deployment • Add in UCLA, UCSB, UCSF, UCR, UCM

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